qwen
Cerebras is serving an open 27B model at 1,500 tokens a second, and the free tier caps it exactly News
Cerebras now serves Qwen 3.8 27B at roughly 1,500 output tokens per second, but its own rate-limit page caps free-tier users at 90,000 tokens per minute -- almost precisely the model's raw output rate -- so the headline speed only becomes usable on the paid tier.
A 104 GB model now runs on a 48 GB Mac by streaming experts off the SSD News
slotstream, a single Swift binary released as a Show HN on September 1, 2026, runs the 104 GB Qwen3.8-Flash-Next mixture-of-experts model on Macs with a fraction of that memory by keeping a small trunk resident and reading expert weights off the SSD on demand -- about 12 tokens per second on a 48 GB machine.
llama.cpp merged Qwen's new architecture and a 97-gigabyte lookup table News
Support for Qwen3.8-Flash-Next landed in llama.cpp on August 27, adding a sparse-attention graph, vision, three quantizer fixes and machinery to stream a 97.7 GiB n-gram table that never has to sit on the GPU.
Qwen3.8-27B's compression data has a blind spot where its speed-up head lives News
The importance matrix used to compress Qwen3.8-27B contains no entries for block 64, the model's multi-token-prediction head, because that head never activates during the standard calibration run, which is where the most aggressive one-bit builds start to break.
DFlash 2 decodes 3.4 times faster, and published the table showing where that stops being true News
Inco AI released DFlash 2, a block-diffusion drafter for speculative decoding that reaches 3.43 times the throughput of ordinary decoding on a single request, and published benchmark tables showing the advantage shrinking to almost nothing under heavy concurrency.
Qwen3.8-27B spent 22,276 thinking tokens on one drawing News
Alibaba's new open-weight 27B model ships with its reasoning effort set to the highest level by default, and Simon Willison measured a simple drawing prompt taking 21 minutes instead of two.
Qwen passed one billion downloads, not three billion News
Alibaba Cloud's own announcement says its Qwen models crossed 1 billion cumulative Hugging Face downloads at about 1.1 million a day with 200,000 derivative models, passing Meta's Llama, contradicting a widely repeated claim of 3 billion downloads past both Meta and Google.
Qwen3.8-27B shares its predecessor's bones, but not its contract News
Alibaba's Qwen3.8-27B shipped with the same coarse architecture as Qwen3.6-27B, prompting accusations it was a relabel with knowledge stripped out, but the published comparison shows knowledge scores flat or slightly up.
Qwen did not take the top agentic spot from Claude, but it got within one point News
Artificial Analysis's Agentic Index currently places Claude Opus 5 at maximum effort first with 59, and Qwen3.8 Max tied for second at 58, contradicting posts describing Alibaba's model as the outright leader.
Qwen3.8-Max Shipped as a Paid API, Not as Open Weights News
Alibaba put Qwen3.8-Max live as a hosted API at $2 per million input tokens and $6 per million output tokens, a fifth cheaper than the model it replaces, while the open weights it promised for Max and a 27B sibling have not shipped.
Qwen trained its phone agent on a lab of more than a hundred real phones News
Qwen-UI-Agent's technical report describes a fleet of over a hundred physical Android devices running 150-plus real apps, with a scheduler that leases working phone-app-account combinations and blacklists broken ones until a human fixes them.
Alibaba Ships Qwen3.6 as Open Weights, Betting on Efficiency Over Size News
Alibaba released its Qwen3.6 line under Apache 2.0, led by a 35-billion-parameter mixture-of-experts model that activates only about 3 billion parameters per token and targets agentic coding.
Qwen used human-feedback training to make its image AI follow directions better News
A new recipe applies the same reinforcement-learning approach that polished chatbots to an image generator, then merges separate skill models into one - improving how faithfully it follows prompts and edits.
Image generators can't plan. This one bolts on a brain that can. News
Qwen-Image-Agent wraps planning, reasoning, and memory around a text-to-image model so it can break a hard request into steps - and the local-AI crowd immediately asked whether it runs on a gaming GPU.
Anthropic says Alibaba ran the biggest 'copy Claude' campaign yet News
Anthropic told U.S. senators that Alibaba's Qwen team quietly milked Claude for its best skills. Alibaba says nothing back, and the whole fight may be as much about price as theft.
Alibaba's new models let AI agents practice in a world they imagine News
Qwen-AgentWorld trains a model to simulate the environment an agent acts in, then uses that simulation as a cheap, controllable place to learn -- reporting gains beyond training in the real thing.
AI Agents Are Learning to Build the Worlds They Train In News
Three new open research projects point the same way: instead of only learning what to do, agents are learning to simulate the environment itself, so they can practice in their own imagination.
Unsloth Qwen3.8-27B GGUF Tool
Quantized builds of Alibaba's newest 27B open-weight model, published within minutes of the release, in a range of sizes that fit on a single consumer graphics card.
Qwen3.8-Max-0902 Tool
Alibaba Cloud's 2.4T-parameter MoE flagship with native vision, long-horizon-task support, and a one-million-token context window.
Qwen3.8-Max Tool
Alibaba's new flagship multimodal model, live today as a paid API at $2 per million input tokens and $6 per million output tokens, with a one-million-token context, function calling, structured output, and prompt caching that drops repeated input to $0.25 per million. Weights are promised but not published.
Qwen3.8-Flash-Next GGUF quants Tool
Unsloth's quantized builds of Qwen's newest architecture, in eleven sizes from roughly 72.5 GB at the smallest to about 354 GB at full precision. No official VRAM figure is published; community reports run a 4-bit build on a 16 GB card with around 100 GB of combined system memory.
Qwen3.8-27B GGUF builds Tool
Ready-to-run compressed builds of Alibaba's 27-billion-parameter multimodal Qwen3.8, covering the full ladder from eight-bit down to one-bit. Community testing points to the six-bit build, around 22 gigabytes, as the conservative floor for serious agentic coding, with three-bit still usable and one-bit rebuilds degrading sharply because the calibration file has no data for the model's multi-token-prediction head.
Qwen3.8-27B Tool
Apache 2.0 vision-capable 27B model with a 262k context window, runnable on a well-specced laptop in quantized form. Ships with reasoning effort set to xhigh, which is worth turning down before first use.
Qwen3.6 (open weights) Tool
Alibaba's stable Qwen3.6 release: open-weight general chat and coding models you can self-host, the same family at the center of this week's open-vs-closed pricing debate.
Qwen-Image-2.0-Pro Tool
Alibaba's latest open image-generation model in the Qwen family, downloadable and runnable locally, part of a broad open-weight release wave that also refreshed the Qwen3.6 chat models.
Qwen Code Tool
Alibaba's open-source command-line coding agent, whose 30 July update adds persistent background agents, reusable skills and UI-agent tooling. Free to run against local or hosted Qwen models.
DFlash 2 (Qwen3.8-27B drafter) Tool
A drop-in block-diffusion drafter for speculative decoding on Qwen3.8-27B, with documented launch commands for SGLang and vLLM. Output is provably identical to the target model; throughput gains reach 3.4x on single requests and shrink under heavy concurrency.
Cerebras Inference (Qwen 3.8 27B) Tool
Serves the open Qwen 3.8 27B at roughly 1,500 output tokens per second, with a free tier at 64k context and paid at 128k. Automatic prompt caching cuts time-to-first-token. Read the rate limits first -- the free tier's 90,000 tokens per minute lands almost exactly at the model's own output rate.